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https://gitcode.com/gh_mirrors/es/esp32-opencv.git
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105 lines
2.9 KiB
C++
105 lines
2.9 KiB
C++
/**
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* @function moments_demo.cpp
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* @brief Demo code to calculate moments
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* @author OpenCV team
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*/
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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#include <iomanip>
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using namespace cv;
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using namespace std;
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Mat src_gray;
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int thresh = 100;
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RNG rng(12345);
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/// Function header
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void thresh_callback(int, void* );
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/**
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* @function main
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*/
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int main( int argc, char** argv )
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{
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/// Load source image
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CommandLineParser parser( argc, argv, "{@input | stuff.jpg | input image}" );
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Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
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if( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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/// Convert image to gray and blur it
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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blur( src_gray, src_gray, Size(3,3) );
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/// Create Window
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const char* source_window = "Source";
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namedWindow( source_window );
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imshow( source_window, src );
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const int max_thresh = 255;
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createTrackbar( "Canny thresh:", source_window, &thresh, max_thresh, thresh_callback );
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thresh_callback( 0, 0 );
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waitKey();
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return 0;
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}
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/**
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* @function thresh_callback
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*/
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void thresh_callback(int, void* )
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{
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/// Detect edges using canny
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Mat canny_output;
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Canny( src_gray, canny_output, thresh, thresh*2, 3 );
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/// Find contours
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vector<vector<Point> > contours;
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findContours( canny_output, contours, RETR_TREE, CHAIN_APPROX_SIMPLE );
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/// Get the moments
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vector<Moments> mu(contours.size() );
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for( size_t i = 0; i < contours.size(); i++ )
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{
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mu[i] = moments( contours[i] );
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}
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/// Get the mass centers
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vector<Point2f> mc( contours.size() );
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for( size_t i = 0; i < contours.size(); i++ )
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{
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//add 1e-5 to avoid division by zero
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mc[i] = Point2f( static_cast<float>(mu[i].m10 / (mu[i].m00 + 1e-5)),
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static_cast<float>(mu[i].m01 / (mu[i].m00 + 1e-5)) );
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cout << "mc[" << i << "]=" << mc[i] << endl;
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}
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/// Draw contours
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Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
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for( size_t i = 0; i< contours.size(); i++ )
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{
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Scalar color = Scalar( rng.uniform(0, 256), rng.uniform(0,256), rng.uniform(0,256) );
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drawContours( drawing, contours, (int)i, color, 2 );
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circle( drawing, mc[i], 4, color, -1 );
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}
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/// Show in a window
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imshow( "Contours", drawing );
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/// Calculate the area with the moments 00 and compare with the result of the OpenCV function
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cout << "\t Info: Area and Contour Length \n";
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for( size_t i = 0; i < contours.size(); i++ )
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{
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cout << " * Contour[" << i << "] - Area (M_00) = " << std::fixed << std::setprecision(2) << mu[i].m00
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<< " - Area OpenCV: " << contourArea(contours[i]) << " - Length: " << arcLength( contours[i], true ) << endl;
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}
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}
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